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Accelerated large-scale multiple sequence alignment

Overview of attention for article published in BMC Bioinformatics, December 2011
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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
8 CiteULike
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Title
Accelerated large-scale multiple sequence alignment
Published in
BMC Bioinformatics, December 2011
DOI 10.1186/1471-2105-12-466
Pubmed ID
Authors

Scott Lloyd, Quinn O Snell

Abstract

Multiple sequence alignment (MSA) is a fundamental analysis method used in bioinformatics and many comparative genomic applications. Prior MSA acceleration attempts with reconfigurable computing have only addressed the first stage of progressive alignment and consequently exhibit performance limitations according to Amdahl's Law. This work is the first known to accelerate the third stage of progressive alignment on reconfigurable hardware.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 6%
Spain 3 6%
Brazil 2 4%
Sweden 2 4%
Colombia 1 2%
Australia 1 2%
United States 1 2%
Unknown 36 73%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 33%
Student > Ph. D. Student 11 22%
Student > Master 5 10%
Professor > Associate Professor 4 8%
Student > Postgraduate 4 8%
Other 9 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 49%
Computer Science 9 18%
Biochemistry, Genetics and Molecular Biology 5 10%
Engineering 4 8%
Mathematics 2 4%
Other 2 4%
Unknown 3 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 December 2011.
All research outputs
#2,327,739
of 4,505,992 outputs
Outputs from BMC Bioinformatics
#1,787
of 2,646 outputs
Outputs of similar age
#99,967
of 232,205 outputs
Outputs of similar age from BMC Bioinformatics
#48
of 99 outputs
Altmetric has tracked 4,505,992 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,646 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 232,205 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.